Potential of near-infrared spectroscopy for quality evaluation of cattle leather

Author(s)

Braz, Carlos Eduardo M. ^{[1, 2]} ; Jacinto, Manuel Antonio C. ^[1] ; Pereira-Filho, Edenir R. ^[2] ; Souza, Gilberto B. ^[1] ; Nogueira, Ana Rita A. ^[1]

Affiliation

^[1] Embrapa Pecuaria Sudeste, BR-13560970 Sao Carlos, SP - Brazil

^[2] Univ Fed Sao Carlos, Dept Chem, GAIA, BR-13565905 Sao Carlos, SP - Brazil

• Document type: Journal article
• Source: SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY; v. 202, p. 182-186, SEP 5 2018.
• Web of Science Citations: 1

Abstract

Models using near-infrared spectroscopy (NIRS) were constructed based on physical-mechanical tests to determine the quality of cattle leather. The following official parameters were used, considering the industry requirements: tensile strength (TS), percentage elongation (%E), tear strength (TT), and double hole tear strength (DHS). Classification models were constructed with the use of k-nearest neighbor (kNN), soft independent modeling of class analogy (SIMCA), and partial least squares-discriminant analysis (PLS-DA). The evaluated figures of merit, accuracy, sensitivity, and specificity presented results between 85% and 93%, and the false alarm rates from 9% to 14%. The model with lowest validation percentage (92%) was kNN, and the highest was PLS-DA (100%). For TS, lower values were obtained, from 52% for kNN and 74% for SIMCA. The other parameters %E, TT, and DHS presented hit rates between 87 and 100%. The abilities of the models were similar, showing they can be used to predict the quality of cattle leather. (C) 2018 Elsevier B.V. All rights reserved. (AU)

• FAPESP's process: 15/14488-0 - Analytical method development for quality determination of fertilizers and tanning waste
• Grantee: Ana Rita de Araujo Nogueira
• Support Opportunities: Regular Research Grants